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QAI Tool Business

Turn your AI idea into a real, billable product.

We design, build and launch your AI-powered tool with the parts that make it a business: accounts, billing and usage credits, prompt and model pipelines, guardrails and cost controls, so every request is useful, safe and accounted for.

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model cost tracking
Per-call
model providers supported
2+
code & IP ownership
100%
SaaS Engine

The opportunity

Models are a commodity. The product around them isn’t.

Anyone can call a model API, which is why thin wrappers are easy to copy and hard to trust. The tools that last solve one painful job well, on top of the user’s own data and workflow, with pricing that covers what the models cost to run. That product layer is the part we build.

  1. 01
    Workflow over prompts

    A tool built around a real job is harder to replace than a clever prompt.

  2. 02
    Costs you can see

    Usage credits and per-request cost tracking tie pricing to real model spend.

  3. 03
    Model-agnostic by design

    A provider layer lets you switch or mix models as prices and quality change.

Part of Websites, Software & Micro-SaaS Build the digital infrastructure behind your idea. Explore the category

What we build

Everything it takes, built for you.

Concrete deliverables, not vague promises. You own every one of them.

01

Product & use-case definition

One clear job to be done, the target user, the inputs and outputs, and what “good” looks like for every result.

02

Prompt & model pipeline

Versioned prompts, retrieval over your own data where needed, structured outputs and a provider layer that can swap models.

03

Accounts, billing & credits

Sign-up and login, Stripe subscriptions or one-off packs, and a usage-credit ledger that meters every generation.

04

Guardrails & safety

Input and output moderation, rate limits, abuse detection, prompt-injection defences and clear limits on what the tool will do.

05

Model-cost control

Per-user and per-request cost tracking, caching, model routing and spend caps, so a busy day never becomes a surprise bill.

06

Admin dashboard & analytics

Usage, credits, errors, feedback and cost per feature in one place, plus event analytics for activation and retention.

How it works

From first step to running system.

Choose a stage to see what happens there. The live engine alongside is the kind of system you end up with.

01/05

Define

One job, clearly scoped

We pin down the single task the tool performs, who it is for and how we will judge a good output.

Solutions

Choose the shape that fits.

A

Standalone AI app

A focused web app around one AI workflow, with accounts, credits and a polished interface.

  • Web app & dashboard
  • Stripe credits or plans
  • Usage history & exports
Start with this
B

AI API product

Your pipeline exposed as an API that developers and businesses can build on.

  • API keys & rate limits
  • Metered billing
  • Developer documentation
Start with this
C

AI feature add-on

An AI capability added to a product you already run, with metering and guardrails from the start.

  • Model-agnostic integration
  • Per-account usage caps
  • Cost dashboards
Start with this

17 capabilities included

What’s included.

Every capability below is available on its own or as part of the full system. We’ll recommend the smallest set that gets you the biggest result.

Product01

  • Use-case & user research
  • Evaluation test set
  • UX & interface design
  • Pricing & credit model

AI engineering02

  • Prompt versioning
  • Retrieval over your data
  • Structured outputs
  • Multi-provider model layer
  • Caching & model routing

Platform03

  • Auth & team accounts
  • Stripe billing & credits
  • Admin dashboard
  • Customer API keys

Trust & operations04

  • Moderation & guardrails
  • Spend caps & alerts
  • Error & cost monitoring
  • Data retention controls

Who it’s for

Built for people ready to build.

  • 01Founders with an AI product idea

    Move from a promising prompt to a tool with accounts, billing and proper safeguards.

  • 02Experts with a repeatable method

    Package the way you analyse, write or review into a tool other people can use.

  • 03Agencies and consultancies

    Turn an internal AI workflow into a client-facing product with its own pricing.

  • 04Existing products adding AI

    Add an AI feature with metering, guardrails and cost control built in from day one.

Digital ecosystem

Part of a bigger system.

AI Tool Business connects to the rest of your digital ecosystem. Add what you need, when you need it.

This serviceAI Tool Business
Web, Software & SaaS Micro-SaaS Web, Software & SaaS SaaS Automation Digital Business Product Automation AI & Automation Virtual Assistant Category Web, Software & SaaS Category Digital Business

Process

Discover to grow.

  1. 01Discover

    Your idea, users and the job the tool does.

  2. 02Strategy

    Use case, evaluation set, pricing model and stack.

  3. 03Build

    Prompt pipeline, app, auth, billing and credits.

  4. 04Launch

    Private beta, guardrail testing, then public release.

  5. 05Automate

    Cost alerts, monitoring and automated usage reports.

  6. 06Grow

    Prompt tuning, new features and model upgrades.

Examples & use cases

What it looks like in practice.

Illustrative scenarios based on the kinds of projects we deliver. Every result depends on the niche, the offer and the work put in.

Marketing copywriter01

A house style, packaged as a writing tool.

A copywriter had a tested framework for product descriptions and wanted to offer it beyond client work. We built a tool that follows the framework, adapts to each customer’s brand voice and sells generations through credit packs.

Prompt pipelineBrand voiceCredit packs
Compliance training firm02

Policy documents that answer questions, with sources.

A training provider wanted staff at client firms to ask questions of long policy documents. We built a retrieval-based assistant that cites the source paragraph for every answer and says so when it does not know.

RetrievalCitationsTeam accounts
eCommerce software team03

An AI feature added without a runaway bill.

A software team wanted AI-written product descriptions inside their existing app. We added the feature behind a usage-credit ledger, with model routing and spend caps so heavy use never runs up costs unnoticed.

Model routingSpend capsStripe

FAQ

Straight answers.

Still deciding? A strategist will answer anything else, honestly and without a sales script.

Ask us anything
Isn’t an AI tool just a wrapper around ChatGPT?

Many are, and those are easy to copy. We build around one specific job, your data and workflow, structured outputs and a usable interface, so the value sits in the product rather than the prompt. If an idea is too thin to stand on its own, we say so before you spend on a build.

Who owns the code, prompts and data?

You do. The code lives in your repository, the prompts and evaluation sets are yours, and hosting, API keys and Stripe are set up in your name. Each model provider’s own terms still apply to how their API is used.

How do you handle model and API costs?

Model usage is billed by the provider to your account, so it is a running cost on top of the build. We track cost per request and per user, add caching, routing and spend caps, and design credit pricing so usage is paid for rather than absorbed.

What about wrong or harmful outputs?

AI models can be wrong or confidently invent things, and no setup removes that completely. We reduce it with evaluation sets, retrieval with citations, structured outputs and moderation, and we recommend human review wherever an output affects money, health, legal or hiring decisions.

Is my users’ data used to train the models?

We use provider settings that exclude your data from training where they are offered, store only what the product needs and give you retention and deletion controls. We help you draft a clear privacy policy, but legal sign-off, for example under GDPR, stays with you and your adviser.

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ai tool business?

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